Benjamin James Ralph
University of Leoben
13 Papers
16 Citations
Benjamin James Ralph is an academic researcher from University of Leoben. The author has contributed to research in topics: Industry 4.0 & Digital transformation. The author has an hindex of 2, co-authored 10 publications.
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Papers
Transformation of a rolling mill aggregate to a cyber physical production system: from sensor retrofitting to machine learning
Benjamin James Ralph,Marcel Sorger,Karin Hartl,Andreas Schwarz-Gsaxner,Florian Messner,Martin Stockinger +5 more
TL;DR: This paper describes the transformation of a rolling mill aggregate from a stand-alone solution to a fully integrated cyber physical production system, which serves as a digital twin for data-based recommendations on schedule changes between different rolling process steps.
Big Data in the Metal Processing Value Chain: A Systematic Digitalization Approach under Special Consideration of Standardization and SMEs
TL;DR: In this article, an innovative approach for the digitalization of the value chain of an aluminum component, from casting to the end-of-life recycling, by taking into account the RAMI 4.0 model, is presented.
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Evidence-based redesign of engineering education lectures: theoretical framework and preliminary empirical evidence
TL;DR: In this article , a new lecture at the Montanuniversität Leoben was designed, teaching students of miscellaneous engineering disciplines, the fundamentals of digitalization and digital transformation, tailored to the requirements of the industry.
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Machine Learning Driven Prediction of Residual Stresses for the Shot Peening Process Using a Finite Element Based Grey-Box Model Approach
Benjamin James Ralph,Karin Hartl,Marcel Sorger,Andreas Schwarz-Gsaxner,Martin Stockinger +4 more
- 21 Apr 2021
TL;DR: This paper describes the development of a grey-box model, using a two-dimensional geometry finite element modeling approach, which is capable of predicting residual stresses for common shot peening scenarios and serves as an initial state for the machine learning technique introduced in this work.
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Implementation of a Six-Layer Smart Factory Architecture with Special Focus on Transdisciplinary Engineering Education
Benjamin James Ralph,Marcel Sorger,Benjamin Schödinger,Hans-Jörg Schmölzer,Karin Hartl,Martin Stockinger +5 more
TL;DR: In this article, the authors describe the development and implementation of two different layer architectures for the metal processing environment, one based on low-cost but resilient devices, allowing interested parties to work with mostly open-source interfaces and standard back-end programming environments.
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